Leon Lang

5 papers · 2019–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird

Venues

ICLR (2) EMNLP (1) ICML (1) NeurIPS (1)

Top co-authors

Maurice Weiler (2) Benjamin Kolb (1) Gabriele Cesa (1) David Krueger (1) Erik Jenner (1) Davis Foote (1) Lukas Fluri (1) Arwin Gansekoele (1) David Speck (1) Patrick Forré (1)

Research topics

Artificial Intelligence (3) Deep Learning (3) Machine Learning (3) Reinforcement Learning (3) Core AI (3) Methods (3) Architectures (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Computer Vision (1) Analysis (1) Optimization & Theory (1) Techniques (1)

Keywords

reinforcement learning (1) reward modeling (1) imitation learning (1) policy optimization (1) reinforcement learning from human feedback (1) optimization (1) belief state (1) partial observability (1) generalization (1) human feedback (1) convolutional neural network (1) reward model (1) uncertainty estimation (1) policy deception (1) reward ambiguity (1) distributional shift (1) equivariant neural network (1) policy regret (1) molecular dataset (1) multi-agent communication (1)

Papers

The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret ICML 2025 When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback NeurIPS 2024 A Program to Build E(N)-Equivariant Steerable CNNs ICLR 2022 A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels ICLR 2021 Learning to request guidance in emergent language EMNLP 2019